Author
Mohd Zamin Jumaat
Other affiliations: Peninsular Malaysia, Indian Institute of Science
Bio: Mohd Zamin Jumaat is an academic researcher from University of Malaya. The author has contributed to research in topics: Compressive strength & Flexural strength. The author has an hindex of 56, co-authored 297 publications receiving 9327 citations. Previous affiliations of Mohd Zamin Jumaat include Peninsular Malaysia & Indian Institute of Science.
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the thermal conductivity of oil palm shell foamed geopolymer concrete (OPSFGC) was investigated and compared with conventional wall materials, such as block and brick.
295 citations
TL;DR: In this article, the effects of exposing palm oil fuel ash (POFA)/fly ash (FA) based geopolymer mortar to elevated temperatures at early stage in terms of microstructural and compressive strength was presented.
241 citations
TL;DR: In this paper, the physical and mechanical properties of OPKS are summarized along with mechanical, durability and functional properties and structural behavior of OPKSCs concrete (OPKSC).
228 citations
TL;DR: In this paper, the effects of wettability, chemical characterization and nanometric roughness of two different fibers, polypropylene (PPF) and micro steel fibers (MSF), superposed by shrinkage of fly ash based geopolymer binder on fiber-matrix interaction and the consequent mechanical properties of the corresponding composites.
227 citations
TL;DR: In this paper, the use of optimum level of palm oil fuel ash (POFA), ground granulated blast furnace slag (GGBS) and low calcium fly-ash (FA) with manufactured sand (M-sand) to produce geopolymer mortar was presented.
227 citations
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TL;DR: There is, I think, something ethereal about i —the square root of minus one, which seems an odd beast at that time—an intruder hovering on the edge of reality.
Abstract: There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality.
Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …
33,785 citations
31 Oct 2001
TL;DR: The American Society for Testing and Materials (ASTM) as mentioned in this paper is an independent organization devoted to the development of standards for testing and materials, and is a member of IEEE 802.11.
Abstract: The American Society for Testing and Materials (ASTM) is an independent organization devoted to the development of standards.
3,792 citations
01 Jan 2016
TL;DR: The properties of concrete is universally compatible with any devices to read, and is available in the digital library an online access to it is set as public so you can download it instantly.
Abstract: Thank you for downloading properties of concrete. As you may know, people have look hundreds times for their chosen readings like this properties of concrete, but end up in malicious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they juggled with some malicious virus inside their computer. properties of concrete is available in our digital library an online access to it is set as public so you can download it instantly. Our digital library hosts in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the properties of concrete is universally compatible with any devices to read.
1,701 citations
1,604 citations
TL;DR: A review of the studies that developed data-driven building energy consumption prediction models, with a particular focus on reviewing the scopes of prediction, the data properties and the data preprocessing methods used, the machine learning algorithms utilized for prediction, and the performance measures used for evaluation is provided in this paper.
Abstract: Energy is the lifeblood of modern societies. In the past decades, the world's energy consumption and associated CO 2 emissions increased rapidly due to the increases in population and comfort demands of people. Building energy consumption prediction is essential for energy planning, management, and conservation. Data-driven models provide a practical approach to energy consumption prediction. This paper offers a review of the studies that developed data-driven building energy consumption prediction models, with a particular focus on reviewing the scopes of prediction, the data properties and the data preprocessing methods used, the machine learning algorithms utilized for prediction, and the performance measures used for evaluation. Based on this review, existing research gaps are identified and future research directions in the area of data-driven building energy consumption prediction are highlighted.
1,015 citations